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MACHINE LEARNING PIPELINE FOR BRAIN TISSUE DAMAGE PREDICTION IN TBI

Machine Learning Pipeline for Brain Tissue Damage Prediction in TBI

This package provides a process to calibrate and evaluate a model to predict simulated damage to the brain’s resting state networks (RSN) for a given set of impact conditions.

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Relevant publications

  • A. Schroder, T. Lawrence, N. Voets, D. Garcia-Gonzalez, M. Jones, J.-M. Peña and A. Jérusalem. A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI. Frontiers in Bioengineering and Biotechnology, 9:587082, 2021. DOI:10.3389/fbioe.2021.587082